Render 3D terrain from DEM and imagery with vertical exaggeration and an HTML viewer
数据分析
geoskill-virtual-globe-export
试用Export data to KML or CZML with time attributes and popup info for virtual globes
它能做什么
Export data to KML or CZML with time attributes and popup info for virtual globes
技能文档
虚拟地球导出 | Virtual Globe Export
Exports spatiotemporal point data into formats readable by virtual globes (Google Earth / Cesium): KML (Placemark + TimeStamp + ExtendedData popup info, coordinates strictly in lon,lat,alt order) and CZML (document header + cartographicDegrees position + availability time interval).
The synthetic mode generates a diagonal flight track with timestamps, ideal for demonstrating temporal dynamics.
Core Algorithm / 核心算法
format_kml_coord(lon,lat,alt) strictly puts longitude first → build_kml(TimeStamp/ExtendedData/Point|LineString) → build_czml(document wrapper + position.cartographicDegrees + availability).
Dependencies / 依赖
pip install numpy rasterio scipy matplotlib geopandas shapely pillow
Usage / 使用方法
Example 1 (Synthetic Data, Offline)
python geoskill-virtual-globe-export.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out
示例 2（仅导 KML）
python geoskill-virtual-globe-export.py --input track.geojson --format kml --name "flight route"
示例 3（仅导 CZML）
python geoskill-virtual-globe-export.py --input track.geojson --format czml
Example 4 (Synthetic 20-Point Flight Track)
python geoskill-virtual-globe-export.py --bbox 116 39 117 40 --synthetic --points 20
示例 5（CSV 点输入）
python geoskill-virtual-globe-export.py --input points.csv --format both
Output / 输出
| File | Format | Description |
|---|---|---|
export.kml | KML | KML document (primary output) |
export.czml | CZML | Cesium time-dynamic JSON |
export.json | JSON | Structured features (verifiable output) |
track_density.tif | GeoTIFF | Track density raster |
Each run also produces output-manifest.json (run manifest).
Data Source / 数据源 / Source
Local GeoTIFF / vector files; --synthetic mode generates physically consistent simulated data, fully offline.
Privacy / 隐私声明 / Privacy
- Runs offline by default;
--syntheticmode requires no network at all. - All processing is done locally; no user data is uploaded.
License / License
MIT
name: geoskill-virtual-globe-export description: 'Export data to KML or CZML with time attributes and popup info for virtual globes'
虚拟地球导出 | Virtual Globe Export
把时空点数据导出为虚拟地球（Google Earth / Cesium）可读格式：KML（Placemark+TimeStamp+ExtendedData 弹出信息，坐标严格 lon,lat,alt）与 CZML（document 包头 + cartographicDegrees position + availability 时间区间）。
合成模式生成带时间戳的对角线移动航迹，便于演示时间动态。
核心算法
format_kml_coord(lon,lat,alt) 严格经度在前 → build_kml(TimeStamp/ExtendedData/Point|LineString) → build_czml(document 包 + position.cartographicDegrees + availability)。
依赖
pip install numpy rasterio scipy matplotlib geopandas shapely pillow
使用方法
示例 1（合成数据，离线）
python geoskill-virtual-globe-export.py --bbox 116.0 39.0 117.0 40.0 --synthetic --output-dir ./out
示例 2（仅导 KML）
python geoskill-virtual-globe-export.py --input track.geojson --format kml --name "航线"
示例 3（仅导 CZML）
python geoskill-virtual-globe-export.py --input track.geojson --format czml
示例 4（合成 20 点航迹）
python geoskill-virtual-globe-export.py --bbox 116 39 117 40 --synthetic --points 20
示例 5（CSV 点输入）
python geoskill-virtual-globe-export.py --input points.csv --format both
输出
| 文件 | 格式 | 说明 |
|---|---|---|
export.kml | KML | KML 文档（主产物） |
export.czml | CZML | Cesium 时间动态 JSON |
export.json | JSON | 结构化要素（可验证产物） |
track_density.tif | GeoTIFF | 航迹密度栅格 |
每次运行还会产出 output-manifest.json（运行清单）。
数据源 / Source
本地 GeoTIFF / 矢量文件；--synthetic 模式生成物理一致的模拟数据，完全离线。
隐私声明 / Privacy
- 默认离线运行，
--synthetic模式完全无网络。 - 所有处理在本地完成，不上传用户数据。
License
MIT
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